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This allows us to build up a set of principal components of diminishing importance.
Using estimated coefficients from the widely used Nelson Siegel term structure model, we generate synthetic bond-price contracts and use them to calculate a set of principal components.
LAIRX has the following steps: Step 1. Reduce the dimensionality to a set of principal components via a global estimate of.
PCOORD takes a matrix of Euclidean distances between a set of objects and return a set of principal axes that try to preserve the distances.
The produced results are a set of principal axes that maximize the projected variability (inertia) of each data set independently.
The top left hand panel of Fig. 5 shows a set of principal curves across the lip region.
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On these 36 parameters (3 coordinates by 12 parameters each) of the 20 natural AAs a PCA was performed which gave rise to a set of 3 principal components with a total variance of 61%, as well as a set of 7 principal components with a total of variance of 87%.
Since all of the head and mouthpart size measurements are positively correlated with each other in males (see Results), we also conducted a principal components analysis (PCA) on the five weaponry dimensions to reduce them to a set of orthogonal principal components that captured variation in male weaponry.
The components of and are based on a set of p principal components from the wavelength bands, where in our analysis.
PCA is one of the most popular methods for this purpose and is based on the linear transformation of the original feature vector, into a set of uncorrelated principal components.
The result of an FPCA is a set of functional principal component curves (FPC) describing the main temporal patterns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com